code: def can_cast(from_, to, casting="safe"):
      ivy.utils.assertions.check_elem_in_list(
          casting,
          ["no", "equiv", "safe", "same_kind", "unsafe"],
          message="casting must be one of [no, equiv, safe, same_kind, unsafe]",
      )
  
      if ivy.is_array(from_):
          from_ = ivy.as_ivy_dtype(from_.dtype)
      elif isinstance(from_, (str, type)):
          from_ = ivy.as_ivy_dtype(from_)
      elif isinstance(from_, np_dtype):
          from_ = from_._ivy_dtype
      else:
          raise ivy.utils.exceptions.IvyException(
              "from_ must be one of dtype, dtype specifier, scalar type, or array, "
          )
  
      if isinstance(to, (str, type)):
          to = ivy.as_ivy_dtype(to)
      elif isinstance(to, np_dtype):
          to = to._ivy_dtype
      else:
          raise ivy.utils.exceptions.IvyException(
              "to must be one of dtype, or dtype specifier"
          )
  
      if casting in ["no", "equiv"]:
          return from_ == to
  
      if casting == "safe":
          return to in jax_numpy_casting_table[from_]
  
      if casting == "same_kind":
          if from_ == to or "bool" in from_:
              return True
          elif ivy.is_int_dtype(from_) and (
              "float" in to or "complex" in to
          ):
              return True
          elif ivy.is_float_dtype(from_) and (
              "float" in to or "complex" in to
          ):
              if "bfloat" in from_ and "float16" in to:
                  return False
              return True
  
          elif ivy.is_uint_dtype(from_) and (
              "int" in to or "float" in to or "complex" in to
          ):
              return True
          elif (
              ivy.is_int_dtype(from_)
              and ivy.is_int_dtype(to)
              and not ivy.is_uint_dtype(to)
          ):
              return True
          elif "complex" in from_ and "bfloat16" in to:
              return True
          else:
              return to in jax_numpy_casting_table[from_]
      if casting == "unsafe":
          return True
      return False
  
file_path: ivy/ivy/functional/frontends/jax/numpy/dtype.py
imports: import ivy
  from ivy.functional.frontends.jax.func_wrapper import to_ivy_arrays_and_back
  from ivy.functional.frontends.jax.numpy import jax_numpy_casting_table, promote_types_jax
  from ivy.functional.frontends.numpy import dtype
  from ivy import with_supported_dtypes
label_desc: Use image node_id 1 for calling a global function with example usage: can_cast(from_, to, casting) and returns: False, unknown, unknown, True, True, True, True, False, True, True, True, unknown